Medical Order Entry Systems

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Ruan, E. L., Rossetti, S. C., Hsu, H., Kim, E. Y., & Trepp, R. C. (2024). A Practical Approach to Optimize Computerized Provider Order Entry Systems and Reduce Clinician Burden: Pre-Post Evaluation of Vendor-Derived "Order Friction" Data. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2023, 1246–1256.

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Grauer, A., Rosen, A., Applebaum, J. R., Carter, D., Reddy, P., Dal Col, A., Kumaraiah, D., Barchi, D. J., Classen, D. C., & Adelman, J. S. (2023). Examining medication ordering errors using AHRQ network of patient safety databases. Journal of the American Medical Informatics Association, 30(5), 838–845. https://doi.org/10.1093/jamia/ocad007
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Grauer, A., Kneifati-Hayek, J., Reuland, B., Applebaum, J. R., Adelman, J. S., Green, R. A., Lisak-Phillips, J., Liebovitz, D., Byrd, T. F., Kansal, P., Wilkes, C., Falck, S., Larson, C., Shilka, J., VanDril, E., Schiff, G. D., Galanter, W. L., & Lambert, B. L. (2021). Indication alerts to improve problem list documentation. Journal of the American Medical Informatics Association, 29(5), 909–917. https://doi.org/10.1093/jamia/ocab285
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Liu, Y., Hao, H., Sharma, M. M., Harris, Y., Scofi, J., Trepp, R., Farmer, B., Ancker, J. S., & Zhang, Y. (2022). Clinician Acceptance of Order Sets for Pain Management: A Survey in Two Urban Hospitals. Applied Clinical Informatics, 13(02), 447–455. CLOCKSS. https://doi.org/10.1055/s-0042-1745828
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